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encouraged to apply. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures *Soft and Living Materials *Natural and Engineered Materials
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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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Observation Programmes. You will also cooperate with scientists and engineers from EOP-FA (the System Architect Office) at ESTEC, and potentially with staff in other parts of ESA. You will be part of the ESA Φ
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on radical annulation strategies, photocatalytic transformations, and electrosynthetic approaches. These molecular platforms will be engineered as next-generation functional materials for applications in
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program that includes chemists, geneticists, and plant physiologists. Over the course of this opportunity, you will develop a thorough understanding of cotton breeding, oilseed engineering, genome editing
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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Category 3B and Category 4 lasers. About You With a background in experimental physics, materials science, electrical engineering, nano-optics, photonics, or a related discipline, you will be a self
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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, knowledge and competence needed to be successful in your field. Description of the workplace: The Faculty of Health, Science and Technology invites applications for a post-doctoral fellowship in Physics
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Professor; Dean of the Physical Science and Engineering Division; Chair of CREST), a Highly Cited Researcher in Materials Science and Fellow of MRS, APS, IEEE, NAI, IoP, RSC, and IMMM. About KAUST: KAUST is